Experimental characterization of coherent and non-Markovian errors using tangent space decomposition
Elia Perego, Andrea Rodriguez-Blanco, K. Birgitta Whaley, Bharath Hebbe Madhusudhana

TL;DR
This paper introduces a tangent-space decomposition method to accurately characterize and quantify coherent, Markovian, and non-Markovian errors in single-qubit gates on a trapped ion platform, improving error diagnosis in quantum devices.
Contribution
The paper presents a novel tangent-space decomposition technique for experimentally distinguishing and quantifying different error types in quantum gates, including non-Markovian effects.
Findings
Successfully applied to trapped ion qubits
Quantified non-Markovian effects from environmental fluctuations
Identified coherent miscalibrations in quantum control
Abstract
Accurate characterization of coherent and non-Markovian errors remains a central challenge in quantum information processing, as conventional benchmarking techniques typically rely on Markovian and time-independent noise assumptions. In practice, however, quantum devices exhibit both systematic coherent miscalibrations and temporally correlated fluctuations, which complicate error diagnosis and mitigation. Here, we apply a technique based on tangent-space decomposition to characterize such error in single-qubit quantum gates implemented on a trapped ion platform. Small imperfections in a quantum operation are treated as perturbations of the target quantum map, represented as tangent vectors in the space of quantum channels. This formulations enables a natural decomposition of the deviation into three components corresponding to coherent, Markovian and non-Markovian processes.The…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
